Spotify is looking for an experienced Data Engineer to join the S4A Product Area to build powerful tools that provide artists and labels with comprehensive data on music performance, enabling them to identify growth trends and amplify their music on the platform.
Requirements
- You have worked with large-scale heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, or Cassandra.
- You know how to write distributed data pipelines in Java or Scala.
- You are knowledgeable about data modeling, data access, and data storage techniques.
Responsibilities
- Architect, build and scale batch data pipelines on Scio and GCP.
- Collaborate and advise on backend services.
- Work with Product and Design to define and develop what metrics are most important to artists, labels, and marketing teams in knowing definitively how their music is resonating with fans and new listeners.
- Help us prioritize and address technical debt to ensure our systems are built for stability, cost efficiency, and timely delivery.
- Help drive optimization, testing, and tooling to improve data quality.
- Collaborate with other engineers, product managers, data scientists, and specialists, taking learning and leadership opportunities that will arise every single day.
- Work in agile teams to continuously experiment, iterate and deliver on new product objectives and enhance tooling for squads within our product area.
Other
- You advocate for agile software processes, data-driven development, reliability, blameless incident response, and responsible experimentation.
- You understand the value of collaboration and coordination across teams.
- You are committed to making your team the best version of itself through mentorship and constructive accountability.
- The United States base range for this position is $ 125,561- $ 179,374, plus equity.
- The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays.
